lambda-packs
Pixelsorting
| lambda-packs | Pixelsorting | |
|---|---|---|
| 1 | 1 | |
| 1,106 | 2 | |
| - | - | |
| 4.0 | 0.0 | |
| 6 months ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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lambda-packs
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Using TensorFlow and the Serverless Framework for deep learning and image recognition
As a hobby, I port a lot of libraries to make the serverless friendly. You can look at them here. They all have an MIT license, so feel free to modify and use them for your project.
Pixelsorting
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How to get started with pixel sorting?
On the Mac, I use this python module: https://github.com/satyarth/pixelsort but there is also these: https://github.com/wolfembers/Pixelsorting https://github.com/madlitch/MadPixelSort-Legacy
What are some alternatives?
equilib - 🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
MadPixelSort-Legacy - Software to create a pixel sorting effect on images.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
colorgram.py - A Python module for extracting colors from images. Get a palette of any picture!
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
pixelsort - Pixel sorting images in python.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Photomosaic-Creator - This script allows you to create a photomosaic from a set of images.
external_documentation_redirect - Python external documentation redirect for JetBrains IDEs
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.